Databricks Data Engineer — Lakehouse Pipelines & Governance

Multitude; Helsinki; Hybrid; EUR 56,000 - 67,000; Full time

Benefits offered by this job

Global workplace

Hybrid work

Growth opportunities

Share purchase plan

Workation program

Job summary

Multitude is hiring a Databricks Data Engineer to design, build, and operate scalable data pipelines and curated data products on Databricks. You will work across ingestion, transformation, governance, and delivery layers using SQL, Python, and PySpark with strong data warehousing principles.

This role emphasizes hands-on Databricks experience, Unity Catalog governance, Lakeflow Declarative Pipelines, and quality-driven development to ensure trusted data products across the organization.

Qualifications

• Hands-on Databricks experience in production environments.
• Strong SQL, Python, and PySpark for data engineering.
• Experience with Unity Catalog and Lakeflow Declarative Pipelines.
• Knowledge of Kimball, Inmon, or Data Vault data warehouse models.
• Experience with data quality checks and governance.

Responsibilities

• Build and maintain production-grade data pipelines in Databricks using SQL, Python, and PySpark.
• Implement ELT/ETL patterns for batch and streaming data processing where relevant.
• Develop and maintain Lakehouse data models and curated datasets aligned with DWH best practices (Kimball/Inmon/Data Vault).
• Use Databricks-native capabilities to implement robust, maintainable pipelines (Lakeflow Declarative Pipelines).
• Implement data quality checks and monitoring to ensure reliability and trust in data products.
• Configure and manage governance and access controls using Unity Catalog, including catalogs/schemas, permissions, and lineage-friendly practices.
• Optimize performance and cost (cluster sizing, partitioning, file sizes, caching, query optimization).
• Collaborate with analytics, data science, and engineering stakeholders to translate requirements into data contracts and deliverables.
• Create and maintain technical documentation for pipelines, models, and runbooks.
• Support operational excellence: incident response, root-cause analysis, and continuous improvement of data platform reliability.

Skills

Databricks

SQL

Python

PySpark

Data governance

Data quality

Tools

Unity Catalog

Lakeflow

Lakehouse

Job description

Multitude is hiring a Databricks Data Engineer to design, build, and operate scalable data pipelines and curated data products on Databricks. You will work across ingestion, transformation, governance, and delivery layers using SQL, Python, and PySpark with strong data warehousing principles.

This role emphasizes hands-on Databricks experience, Unity Catalog governance, Lakeflow Declarative Pipelines, and quality-driven development to ensure trusted data products across the organization.